{"id":"W2595296728","doi":"10.3997/2214-4609.201601030","title":"Quantifying the Impact of Fault Networks on Induced Seismicity Potential - Geomechanical Tools to Support Social License","year":2016,"lang":"en","type":"article","venue":"78th EAGE Conference and Exhibition 2016","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Induced seismicity; Geology; Workflow; Seismology; Shear (geology); Fault (geology); Spurious relationship; Geomechanics; Geotechnical engineering; Computer science; Petrology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004072503,0.0001492666,0.0001974338,0.00007813097,0.0002279947,0.00008237005,0.0001649778,0.0001173161,0.00164202],"category_scores_gemma":[0.00006403885,0.00007573803,0.0001035291,0.000104198,0.0001022783,0.0002656693,0.00002684017,0.0001453505,0.00013226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008707299,"about_ca_system_score_gemma":0.00008133869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002134162,"about_ca_topic_score_gemma":0.00002093118,"domain_scores_codex":[0.9989114,0.0001086792,0.0002367525,0.0002559197,0.0001948617,0.0002923847],"domain_scores_gemma":[0.9993758,0.0001452023,0.0001139085,0.0001579559,0.00009094093,0.0001161525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004847333,0.00005804565,0.004206609,0.00001222022,0.00004574225,0.00001555413,0.0005568455,0.000112472,0.01588667,0.0005172776,0.06331291,0.9147909],"study_design_scores_gemma":[0.007210146,0.01438071,0.6937056,0.002047788,0.0002373474,0.0002253281,0.002736843,0.1346385,0.1120757,0.00950289,0.01980863,0.003430496],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816231,0.0000113238,0.01427515,0.00238963,0.0001606456,0.0001978085,0.0001498923,0.00006407734,0.001128362],"genre_scores_gemma":[0.9976681,0.00008635881,0.00004403366,0.001869681,0.0001583714,0.00000209589,0.00003457681,0.00000389755,0.000132925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9113604,"threshold_uncertainty_score":0.9992706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07174311025195797,"score_gpt":0.2944022897757682,"score_spread":0.2226591795238102,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}